Background: We have previously identified in a study of both self-reported body mass index (BMI) and clinically measured BMI that the sensitivity score in the obese category has declined over a 10-year period. It is known that self-reported weight is significantly lower that measured weight and that self-reported height is significantly higher than measured height. The purpose of this study is to establish if self-reported height bias or weight bias, or both, is responsible for the declining sensitivity in the obese category between self-reported and clinically measured BMI. Methods: We report on self-reported and clinically measured height and weight from three waves of the Surveys of Lifestyle Attitudes and Nutrition (SLÁN) involving a na...
Abstract Background Bias in adolescent self-reported height and weight is well documented. Given the...
Open access article. Creative Commons Attribution 3.0 Unported License (CC BY 3.0) appliesThis stud...
Background The use of self-reported data in epidemiological surveys leads to misclassification of th...
peer-reviewedBackground: We have previously identified in a study of both self-reported body mass in...
Background: We have previously identified in a study of both self-reported body mass index (BMI) and...
peer-reviewedBackground: As the use of self-reported data to classify obesity continues, the tempora...
BACKGROUND: As the use of self-reported data to classify obesity continues, the temporal change in t...
To assess time trends in measurement error of BMI and the sensitivity/specificity of classifying wei...
Using the nationally representative Slan dataset of 2007 we analyse the relationship between self-re...
BACKGROUND: Many studies have documented the bias in body mass index (BMI) determined from self-repo...
Aims: Up-to-date information on the accuracy between different anthropometric data collection method...
We designed an experiment to explore the extent of measurement error in body mass index (BMI), when ...
Self-reported height and weight, if accurate, provide a simple and economical method to track change...
This study was partly supported by the University of Manchester’s Health eResearch Centre (HeRC) fun...
Given the lack of availability of measured anthropometric data for the whole of Spain, this paper co...
Abstract Background Bias in adolescent self-reported height and weight is well documented. Given the...
Open access article. Creative Commons Attribution 3.0 Unported License (CC BY 3.0) appliesThis stud...
Background The use of self-reported data in epidemiological surveys leads to misclassification of th...
peer-reviewedBackground: We have previously identified in a study of both self-reported body mass in...
Background: We have previously identified in a study of both self-reported body mass index (BMI) and...
peer-reviewedBackground: As the use of self-reported data to classify obesity continues, the tempora...
BACKGROUND: As the use of self-reported data to classify obesity continues, the temporal change in t...
To assess time trends in measurement error of BMI and the sensitivity/specificity of classifying wei...
Using the nationally representative Slan dataset of 2007 we analyse the relationship between self-re...
BACKGROUND: Many studies have documented the bias in body mass index (BMI) determined from self-repo...
Aims: Up-to-date information on the accuracy between different anthropometric data collection method...
We designed an experiment to explore the extent of measurement error in body mass index (BMI), when ...
Self-reported height and weight, if accurate, provide a simple and economical method to track change...
This study was partly supported by the University of Manchester’s Health eResearch Centre (HeRC) fun...
Given the lack of availability of measured anthropometric data for the whole of Spain, this paper co...
Abstract Background Bias in adolescent self-reported height and weight is well documented. Given the...
Open access article. Creative Commons Attribution 3.0 Unported License (CC BY 3.0) appliesThis stud...
Background The use of self-reported data in epidemiological surveys leads to misclassification of th...